
Freshservice MCP server
Freshservice MCP server
README
Freshservice MCP Server
Overview
A powerful MCP (Model Control Protocol) server implementation that seamlessly integrates with Freshservice, enabling AI models to interact with Freshservice modules and perform various IT service management operations. This integration bridge empowers your AI assistants to manage and resolve IT service tickets, streamlining your support workflow.
Key Features
- Enterprise-Grade Freshservice Integration: Direct, secure communication with Freshservice API endpoints
- AI Model Compatibility: Enables Claude and other AI models to execute service desk operations through Freshservice
- Automated ITSM Management: Efficiently handle ticket creation, updates, responses, and asset management
- Workflow Acceleration: Reduce manual intervention in routine IT service tasks
Supported Freshservice Modules
This MCP server currently supports operations across a wide range of Freshservice modules:
- Tickets
- Conversations
- Products
- Requesters
- Agents
- Agent Groups
- Requester Groups
- Canned Responses
- Canned Response Folders
- Workspaces
- Solution Categories
- Solution Folders
- Solution Articles
Components & Tools
The server provides a comprehensive toolkit for Freshservice operations:
Ticket Management
Tool | Description | Key Parameters |
---|---|---|
create_ticket |
Create new service tickets | subject , description , source , priority , status , email |
update_ticket |
Update existing tickets | ticket_id , updates |
delete_ticket |
Remove tickets | ticket_id |
search_tickets |
Find tickets matching criteria | query |
get_ticket_fields |
Retrieve ticket field definitions | None |
get_tickets |
List all tickets with pagination | page , per_page |
get_ticket |
Retrieve single ticket details | ticket_id |
Getting Started
Installing via Smithery
To install freshservice_mcp automatically via Smithery:
npx -y @smithery/cli install @effytech/freshservice_mcp --client claude
Prerequisites
- A Freshservice account (sign up at freshservice.com)
- Freshservice API key
uvx
installed (pip install uv
orbrew install uv
)
Configuration
-
Generate your Freshservice API key from the admin panel:
- Navigate to Profile Settings → API Settings
- Copy your API key for configuration
-
Set up your domain and authentication details as shown below
Usage with Claude Desktop
- Install Claude Desktop from the official website
- Add the following configuration to your
claude_desktop_config.json
:
"mcpServers": {
"freshservice-mcp": {
"command": "uvx",
"args": [
"freshservice-mcp"
],
"env": {
"FRESHSERVICE_API_KEY": "<YOUR_FRESHSERVICE_API_KEY>",
"FRESHSERVICE_DOMAIN": "<YOUR_FRESHSERVICE_DOMAIN>"
}
}
}
Important: Replace <YOUR_FRESHSERVICE_API_KEY>
with your actual API key and <YOUR_FRESHSERVICE_DOMAIN>
with your domain (e.g., yourcompany.freshservice.com
)
Example Operations
Once configured, you can ask Claude to perform operations like:
- "Create a new incident ticket with subject 'Network connectivity issue in Marketing department' and description 'Users unable to connect to Wi-Fi in Marketing area', set priority to high"
- "Update the status of change request #45678 to 'Approved'"
- "List all critical incidents reported in the last 24 hours"
- "Show asset details for laptop with asset tag 'LT-2023-087'"
- "Create a change request for scheduled server maintenance next Tuesday at 2 AM"
Testing
For testing purposes, you can start the server manually:
uvx freshservice-mcp --env FRESHSERVICE_API_KEY=<your_api_key> --env FRESHSERVICE_DOMAIN=<your_domain>
Troubleshooting
- Verify your Freshservice API key and domain are correct
- Ensure proper network connectivity to Freshservice servers
- Check API rate limits and quotas
- Verify the
uvx
command is available in your PATH
License
This MCP server is licensed under the MIT License. See the LICENSE file in the project repository for full details.
Additional Resources
<p align="center">Built with ❤️ by effy</p>
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。